High?resolution single?shot phase?shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples

White light phase-shifting interference microscopy (WL-PSIM) is a prominent technique for high-resolution quantitative phase imaging (QPI) of industrial and biological specimens. However, multiple interferograms with accurate phase-shifts are essentially required in WL-PSIM measuring the object. Here, we present single-shot interferometric techniques measurement using filtered white (520±36 nm) (F-WL-PSIM) deep neural network (DNN). The methods incorporated by training DNN to generate (a) four phase-shifted frames (b) direct from single interferogram. performed on two different samples i.e., optical waveguide MG63 osteosarcoma cells. Further, performance F-WL-PSIM+DNN framework validated comparing map extracted generated experimentally recorded interferograms. current approach can further strengthen QPI recovery frame biomedical applications.